Electroencephalogram signal detection device, control method, signal processing system, and storage medium

Abstract

This application relates to the field of medical device technology, and discloses an electroencephalogram (EEG) signal detection device, a control method, a signal processing system, and a storage medium. In the EEG signal detection device, a first control unit can directly control a second contact group in a signal processing unit electrically connected to it to apply a first electrical stimulation to block the first EEG signal based on the first EEG signal collected by the first contact group in the signal processing unit, thereby blocking the first EEG signal in a timely manner. A second control module can determine the propagation change area of ​​the first EEG signal based on the spatial propagation change trend of historical EEG signals and a first detection area, and output a control command to the second contact in the target signal processing unit corresponding to the propagation change area, instructing the second contact to apply electrical stimulation to block the propagation of the first EEG signal to the propagation change area where the target signal processing unit is located in advance.

Description

Technical Field

[0001] This application relates to the field of medical device technology, specifically to an electroencephalogram (EEG) signal detection device, control method, signal processing system, and storage medium. Background Technology

[0002] Electroencephalogram (EEG) is the sum of postsynaptic potentials generated synchronously by a large number of neurons during brain activity. It records the changes in electrical waves during brain activity and is a comprehensive reflection of the electrophysiological activity of brain nerve cells on the surface of the cerebral cortex or scalp. It can also be called an electroencephalogram or brainwave.

[0003] By detecting electroencephalogram (EEG) signals, we can understand the electrophysiological activity of brain nerve cells, such as determining whether the potential of brain nerve cells is at the resting potential. Intervention in the EEG signal acquisition equipment (e.g., outputting electrical stimulation) can affect the subsequently detected EEG signals, for example, causing the potential of brain nerve cells to tend towards the resting potential. However, current methods for intervening in EEG signal acquisition equipment are not flexible enough. Summary of the Invention

[0004] This application provides an electroencephalogram (EEG) signal detection device, control method, signal processing system, and storage medium to address the problem that the existing methods for intervening in EEG signal acquisition devices are not flexible enough.

[0005] To address the aforementioned problems, this application discloses an electroencephalogram (EEG) signal detection device, comprising: a signal processing module, a first control module, and a second control module; the signal processing module includes at least two signal processing units respectively used to process EEG signals from different regions to be detected; the first control module includes at least two first control units, which are electrically connected to the signal processing units and the second control module respectively.

[0006] The first control unit is configured to: control the second contact in the signal processing unit to apply a first electrical stimulation to block the first EEG signal based on the first EEG signal collected by the first contact group in the signal processing unit electrically connected thereto, and send first information to the second control module; wherein the first information indicates the first detection area corresponding to the signal processing unit;

[0007] The second control module is used to perform the following operations:

[0008] Based on the spatial propagation trend of historical EEG signals and the first detection area, the propagation change area of ​​the first EEG signal is determined; wherein, the acquisition time of the historical EEG signals is earlier than the acquisition time of the first EEG signal; the propagation change trend is generated based on the temporal and / or characteristic differences of at least three historical EEG signals;

[0009] A control command is output to the second contact in the target signal processing unit; wherein the detection area corresponding to the target signal processing unit is the propagation change area of ​​the first detection area; the control command is used to instruct the second contact in the target signal processing unit to apply electrical stimulation.

[0010] This application also discloses a brainwave signal control method applied to a brainwave signal detection device, the brainwave signal detection device including a signal processing module; the signal processing module includes at least two signal processing units respectively used to process brainwave signals of different regions to be detected, the method including:

[0011] Based on the first EEG signal collected by the first contact group in the signal processing unit, the second contact in the signal processing unit is controlled to apply a first electrical stimulation to block the first EEG signal.

[0012] Based on the spatial propagation trend of historical EEG signals and the first detection area corresponding to the signal processing unit, the propagation change area of ​​the first EEG signal is determined; wherein, the acquisition time of the historical EEG signals is earlier than the acquisition time of the first EEG signal; the propagation change trend is generated based on the temporal and / or characteristic differences of at least three historical EEG signals;

[0013] A control command is output to the second contact in the target signal processing unit; wherein the detection area corresponding to the target signal processing unit is the propagation change area of ​​the first detection area; the control command is used to instruct the second contact in the target signal processing unit to apply electrical stimulation.

[0014] This application also discloses a signal processing system, including the above-mentioned electroencephalogram (EEG) signal detection device.

[0015] This application also discloses a computer-readable storage medium storing a computer program that, when executed by a processor, implements one or more of the methods described in this application.

[0016] This application also discloses a computer program product, including a computer program that, when executed by a processor, implements one or more of the methods described in this application.

[0017] In this embodiment of the application, the EEG signal detection device includes a signal processing module comprising at least two signal processing units for processing EEG signals from different regions to be detected; a first control module comprising at least two first control units, which are respectively connected to the signal processing unit and the second control module. The first control unit can directly control the second contact group in the signal processing unit to apply a first electrical stimulation to block the first EEG signal based on the first EEG signal collected by the first contact group in the signal processing unit electrically connected to it. This allows for timely blocking of the first EEG signal when it is detected by the signal processing unit. The first control unit then sends signals to the second control module... The second control module sends first information indicating the first detection area corresponding to the signal processing unit. In this way, the second control module can determine the propagation change area of ​​the first EEG signal based on the spatial propagation change trend of the historical EEG signal and the first detection area, and output control commands to the second contact point in the target signal processing unit corresponding to the propagation change area, instructing the second contact point to apply electrical stimulation. In this way, the propagation of the first EEG signal to the propagation change area where the target signal processing unit is located can be blocked in advance, improving the efficiency of subsequent processing operations based on the EEG signal, so that the EEG signal has stable spatiotemporal setting characteristics, and controls the potential of the nerve brain cells to the resting potential. Attached Figure Description

[0018] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein:

[0019] Figure 1 This is a schematic diagram of the structure of the electroencephalogram (EEG) signal detection device provided in the embodiments of this application;

[0020] Figure 2 This is a schematic diagram of a scene using the electroencephalogram (EEG) signal detection device provided in an embodiment of this application.

[0021] Figure 3 A schematic diagram of a scenario for the signal processing unit provided in an embodiment of this application;

[0022] Figure 4 A flowchart of the EEG signal control method provided in the embodiments of this application;

[0023] Figure 5 This is a schematic diagram of the signal processing system provided in an embodiment of this application. Detailed Implementation

[0024] The embodiments of this application are described below with reference to the accompanying drawings. It should be understood that the embodiments described below with reference to the accompanying drawings are exemplary descriptions for explaining the technical solutions of the embodiments of this application, and do not constitute a limitation on the technical solutions of the embodiments of this application.

[0025] Those skilled in the art will understand that, unless otherwise stated, the singular forms “a,” “an,” “the,” and “the” used herein may also include the plural forms. It should be further understood that the terms “comprising” and “including” as used in the embodiments of this application mean that the corresponding feature can be implemented as the presented feature, information, data, step, operation, element, and / or component, but do not exclude implementation as other features, information, data, step, operation, element, component, and / or combinations thereof supported by the art. It should be understood that when we say that an element is “connected” or “coupled” to another element, the one element can be directly connected or coupled to the other element, or it can mean that the one element and the other element establish a connection relationship through an intermediate element. Furthermore, “connected” or “coupled” as used herein can include wireless connection or wireless coupling. The term “multiple” refers to two or more; therefore, in the embodiments of this application, “multiple” can also be understood as “at least two.” The term "and / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A alone, A and B simultaneously, or B alone. Additionally, the character " / ", unless otherwise specified, generally indicates that the related objects before and after it are in an "or" relationship.

[0026] To make the objectives, technical solutions, and advantages of this application clearer, the embodiments of this application will be described in further detail below with reference to the accompanying drawings.

[0027] The following combination Figures 1 to 3 The electroencephalogram (EEG) signal detection device provided in the embodiments of this application will be described. For example... Figure 1 As shown, the EEG signal detection device 10 includes a signal processing module 11, a first control module 12, and a second control module 13; the signal processing module 11 includes at least two signal processing units 111, each used to process EEG signals from different regions to be detected (for ease of description, the connection relationships between different contacts in the signal processing units and the first control unit and the second control module are not explicitly stated). Figure 1 Taking a signal processing module with one signal processing unit as an example for explanation); the first control module 12 includes at least two first control units 121 (for ease of description of the connection relationship between different contacts in the signal processing unit and the first control unit and the second control module, Figure 1 (Taking a first control unit in the first control module as an example) The first control unit 121 is electrically connected to the signal processing unit 111 and the second control module 13, respectively.

[0028] The first control unit 121 is configured to: control the second contact 1112 in the signal processing unit 111 to apply a first electrical stimulation to block the first EEG signal based on the first EEG signal collected by the first contact group 1111 in the signal processing unit 111 electrically connected thereto, and send first information to the second control module 13; wherein, the first information indicates the first detection area corresponding to the signal processing unit 111;

[0029] The second control module 13 is used to perform the following operations:

[0030] Based on the spatial propagation trend of historical EEG signals and the first detection area, the propagation change area of ​​the first EEG signal is determined; wherein, the acquisition time of the historical EEG signals is earlier than the acquisition time of the first EEG signal; the propagation change trend is generated based on the temporal and / or characteristic differences of at least three historical EEG signals;

[0031] A control command is output to the second contact 1112 in the target signal processing unit 111; wherein the detection area corresponding to the target signal processing unit 111 is the propagation change area of ​​the first detection area; the control command is used to instruct the second contact 1112 in the target signal processing unit 111 to apply electrical stimulation.

[0032] Optionally, in the embodiments of this application, the number of signal processing units included in the signal processing module and the placement area of ​​the signal processing units (i.e., the detection area corresponding to the signal processing unit) can be set according to actual needs.

[0033] Optionally, in some embodiments, during the operation of the aforementioned EEG signal detection device, the signal processing module can be integrated onto the deep electrodes and / or cortical electrodes. When the signal processing module is integrated onto the deep electrodes, the deep electrodes can be implanted into the deep brain of the target subject, allowing the signal processing unit within the signal processing module to detect EEG signals from different regions of the deep brain. When the signal processing module is integrated onto the cortical electrodes, the cortical electrodes can be attached to the surface of the target subject's cerebral cortex via a flexible substrate supporting the cortical electrodes; for example, they can be placed on the dura mater (or "dura mater"). The signal processing module can detect EEG signals from different regions of the cerebral cortex through either the external (external) or subdural (or subdural) stimulator. Simultaneously, the first and second control modules can be integrated into the same stimulator, which can be fixed to the skull of the target object (specifically, it can be directly fixed to the skull, or the control unit can be embedded in a groove on the skull (e.g., by setting a tray that matches the control unit, embedding the tray in the groove, and using the tray to support the control unit)) to generate a signal map reflecting the spatiotemporal characteristics of the EEG signals.

[0034] Optionally, the flexible substrate can be a biocompatible flexible film, the material of which can be, for example, polyimide, medical-grade silicone, etc., and this application embodiment does not limit this. The flexible substrate can be strip-shaped, grid-shaped, or mesh-shaped to better conform to the curvature of the brain surface, adhere to the surface of the cerebral cortex, reduce tissue damage, and improve long-term stability.

[0035] Optionally, the specific location of the deep electrode implantation in the target brain can be determined based on actual needs, such as the location where EEG signal detection is required.

[0036] Taking the human body as an example, the implantation sites for deep electrodes can be the subthalamic nucleus, medial part of the globus pallidus, hippocampus, amygdala, basal ganglia, etc., and each site can be distinguished according to the left and right hemispheres. For example, they can be specifically the left subthalamic nucleus, left medial part of the globus pallidus, left hippocampus, left amygdala, right subthalamic nucleus, right medial part of the globus pallidus, right hippocampus, right amygdala, anterior part of the hippocampus, and posterior part of the hippocampus.

[0037] Optionally, the specific location on which the cortical electrodes are attached to the surface of the target subject's cerebral cortex can be determined according to actual needs, such as the location where EEG signal detection is required.

[0038] Optionally, in some embodiments, during the operation of the above-described EEG signal detection device, each contact in the signal processing unit can be connected to a first control unit electrically connected to the signal processing unit via an independent electrical connection (e.g., wire connection). This allows the first control unit to independently address and configure each contact in the signal processing unit connected to it, and set the operating mode of each contact. Simultaneously, each contact in the signal processing unit can be connected to a second control module via an independent electrical connection (e.g., wire connection). This allows the second control module to independently address and configure each contact in the signal processing unit connected to it, and set the operating mode of each contact.

[0039] Optionally, the operating mode of each contact point may include a detection mode (or "recording mode") or a stimulation mode. Specifically, when the contact point is operating in detection mode, it may be called a "detection contact" or "recording contact" and can be used to detect EEG signals in its area; when the contact point is operating in stimulation mode, it may be called a "stimulation contact" and can be used to apply electrical stimulation to its area. Optionally, when the contact point is operating in stimulation mode, it may serve as an anode, cathode, or disconnect / insulation state for applying electrical stimulation.

[0040] Optionally, both the first control module and the second control module may specifically include an amplifier and a stimulation generator. The detection contact or recording contact may be preferentially connected to a recording amplifier with high input impedance and low noise in order to better upload the detected EEG signals. The lead of the stimulation contact may be preferentially connected to a stimulation generator with high output current capability in order to better receive control and apply pulse signals.

[0041] Optionally, in some embodiments, the timing of the EEG signals can be determined based on the order in which the EEG signals are detected.

[0042] Optionally, in some embodiments, the characteristics of the EEG signal can be determined by at least one of the following parameters: type, frequency, amplitude, waveform, etc.

[0043] Optionally, in some embodiments, the first control module and the second control module can also be used in conjunction with terminals such as electroencephalogram (EEG) machines. For example, the first control module and the second control module can transmit the spatial propagation trend of the historical EEG signals they generate to the terminal in the form of a signal map through wireless connection or other means. In this way, the signal map can be visualized through the terminal's display interface, and the spatiotemporal setting characteristics of the real-time EEG signals can provide data support for precise control of electrical stimulation.

[0044] As an application scenario, when the EEG signal detection device provided in this application embodiment is used to detect and block EEG signals caused by epilepsy, the patient's EEG can be acquired through the signal processing module, the EEG can be analyzed, and the abnormal EEG can be analyzed and judged according to the characteristics of the abnormal EEG (such as the type, frequency, amplitude, waveform and other factors of the abnormal EEG) to output the optimal electrical stimulation and block the abnormal EEG signal in a timely manner.

[0045] In some embodiments, the EEG signal detection device can be applied to an implantable closed-loop neurostimulation system, which can be used for neuroscience research, brain-computer interface research, and treatment of targeted diseases.

[0046] The implantable closed-loop neurostimulation system collects electroencephalogram (EEG) signals via electrodes placed near the epileptogenic focus, performs real-time analysis, and predicts or monitors epileptic seizures. When an abnormality in the patient's EEG signals is detected, electrical stimulation is automatically applied to the target brain region via electrodes to inhibit excessive synchronized firing of brain neurons, thereby suppressing epileptic seizures. This electrical stimulation can also be referred to as an electrical stimulation signal, such as a pulse signal.

[0047] In some embodiments, see Figure 2 In the case where the EEG signal detection device provided in this application embodiment is applied to an implantable closed-loop neurostimulation system, the deep electrode 21 in the implantable closed-loop neurostimulation system can be implemented based on the signal processing module in the EEG signal detection device provided in this application embodiment, that is, the deep electrode can be implanted into the deep brain of the target object. Figure 2 The implantable closed-loop neurostimulation system can be implemented using the human body as an example (but other objects are not limited here) to detect deep brain electroencephalogram (EEG) signals. The cortical electrode 22 in the system can be implemented based on the signal processing module of the EEG signal detection device provided in this application embodiment. For example, the cortical electrode can be attached to the dura mater (or "epidural") by a flexible base supporting the cortical electrode to detect EEG signals in the cerebral cortex. The neurostimulator 23 in the system can be implemented based on the first control module and the second control module of the EEG signal detection device provided in this application embodiment. For example, the neurostimulator 23 can be directly fixed to the skull to generate a signal map reflecting the spatiotemporal setting characteristics of the EEG signals.

[0048] Optionally, in some embodiments, the EEG signals collected by each contact point provided in the embodiments of this application can be analyzed to obtain the signal characteristics of the EEG signals collected by each contact point in a "resting state" and in a "non-resting state". For example, for a certain contact point, the EEG signals collected by that contact point within 72 hours can be analyzed, and the signal characteristics within 70% to 80% of the duration can be determined as signal characteristics in a "resting state", and correspondingly, the EEG signal can be regarded as a "normal EEG signal"; the signal characteristics within other durations can be determined as signal characteristics in a "non-resting state", and correspondingly, the EEG signal can be regarded as an "abnormal EEG signal".

[0049] Optionally, in some embodiments, when the signal characteristics of the first EEG signal are those of a "resting state" (i.e., the EEG signal is a normal EEG signal), it is not necessary to perform a blocking operation, that is, it is not necessary to generate a first electrical stimulus to block the first EEG signal; when the signal characteristics of the first EEG signal are those of a "non-resting state" (i.e., the EEG signal is an abnormal EEG signal), a blocking operation can be performed, that is, a first electrical stimulus to block the first EEG signal is generated and applied to the target area through the second contact.

[0050] Optionally, in an embodiment of this application, for a certain signal processing unit, after the first contact group in the signal processing unit collects the first EEG signal, the first control unit electrically connected to the signal processing unit can determine the area (e.g., the deep brain or cerebral cortex) contacted by the signal processing unit as the target area.

[0051] Optionally, in some embodiments, the signal characteristics of the electrical stimulation can be determined based on the difference between the signal characteristics of abnormal and normal EEG signals. As long as the electrical stimulation applied to the target region causes the detected EEG signal in that region to become a normal EEG signal, the specific method for determining the applied electrical stimulation is not limited in this application.

[0052] Optionally, the first electrical stimulation can be a pulse signal, and the signal characteristics of the first electrical stimulation can also be represented by parameters such as type, frequency, amplitude, and waveform.

[0053] Optionally, the signal characteristics of the first electrical stimulation can be default signal characteristics, for example, the stimulation current can be 1.5mA.

[0054] Optionally, in some embodiments, when it is determined that the frequency of abnormal EEG signals detected by the first signal processing unit increases, its default signal characteristics can be reduced to better weaken the abnormal EEG signals and make the detected EEG signals tend to be normal.

[0055] In some embodiments, when it is determined that the frequency of abnormal EEG signals detected by the first signal processing unit has decreased, its default signal characteristics can be reduced to better save energy and reduce power consumption.

[0056] In some embodiments, if it is determined that the frequency of abnormal EEG signals detected by the signal processing unit can still be reduced when the default signal characteristics of a signal processing unit are reduced, then the default signal characteristics of the signal processing unit can be reduced to better save energy and reduce power consumption.

[0057] In this embodiment, the first control unit controls the second contact group in the signal processing unit to apply a first electrical stimulation to block the first EEG signal by directly collecting the first EEG signal from the first contact group in the signal processing unit that is electrically connected to it. In this way, the signal processing unit can block the first EEG signal in a timely manner when it detects the first EEG signal.

[0058] Optionally, by sending first information to the second control module through the first control unit, the second control module can be triggered to decide whether to perform centralized control operation, that is, whether it is necessary to control the second contact in other signal processing units (i.e., the target signal processing unit) to apply electrical stimulation.

[0059] Optionally, the first information can be a preset electrical stimulation. In this embodiment of the application, the frequency or amplitude of the electrical stimulation signal characteristics are not limited.

[0060] Optionally, the spatial propagation trend of historical EEG signals can be determined based on the temporal and / or characteristic differences of historical EEG signals. This method of determination is not specifically limited in the embodiments of this application. For example, by sequentially connecting the regions where the historical EEG signals were detected in the order of the times at least three historical EEG signals were detected, the spatial propagation trend of the historical EEG signals can be obtained. As another example, by sequentially connecting the regions where the historical EEG signals were detected in the order of the amplitude of at least three historical EEG signals from strongest to weakest, the spatial propagation trend of the historical EEG signals can also be obtained.

[0061] Optionally, a signal map reflecting the spatiotemporal characteristics of historical EEG signals can be generated based on the spatial propagation trend (also known as "propagation path") determined from historical EEG signals detected at multiple time periods.

[0062] Optionally, the second control module can take the first detection area as the starting point in the signal map, match at least one propagation path corresponding to the first detection area, take the area involved in the propagation path as the propagation change area of ​​the first EEG signal, determine the signal processing unit corresponding to the propagation change area as the target signal processing unit, and output control commands to the second contact in the target signal processing unit.

[0063] Optionally, based on the control command, the electrical stimulation applied through the second contact (which may be referred to as the "second electrical stimulation") may be the same as or weaker than the first electrical stimulation. For example, the frequency of the second electrical stimulation may be lower than the frequency of the first electrical stimulation, or the amplitude of the second electrical stimulation may be smaller than the frequency of the first electrical stimulation.

[0064] In this embodiment, the first control unit sends first information indicating the first detection area corresponding to the signal processing unit to the second control module. In this way, the second control module can determine the propagation change area of ​​the first EEG signal based on the spatial propagation change trend of the historical EEG signal and the first detection area, and output control instructions to the second contact point in the target signal processing unit corresponding to the propagation change area, instructing the second contact point to apply electrical stimulation. In this way, the propagation of the first EEG signal to the propagation change area where the target signal processing unit is located can be blocked in advance, improving the efficiency of subsequent processing operations based on the EEG signal, so that the EEG signal has stable spatiotemporal setting characteristics, and controls the potential of the nerve brain cells to be the resting potential.

[0065] Optionally, see Figure 3 In the signal processing unit, the first contact group includes at least three first contacts, and the second contact is arranged around the at least three first contacts.

[0066] Optionally, based on the above description of the working mode of the contact points, the first contact point can be called a "detection contact point," and the "second contact point" can be called a "stimulation contact point." The second contact point can also be called a "stimulation core" or a "large contact point," and the group of first contacts surrounding the second contact point can be called a "micro-sensor array." Each signal processing unit can be called an "intervention cluster unit," thus, the EEG signal detection device can include multiple "intervention cluster units."

[0067] Optionally, in the signal processing unit, taking "R" to represent the first contact (i.e., the detection contact) and "S" to represent the second contact (i.e., the stimulation contact), each second contact is surrounded by at least three first contacts, and the top view of the signal processing unit can be formed as follows: Figure 3 The topological structure shown is on a two-dimensional plane. That is:

[0068] …

[0069] RSRS

[0070] SRRR

[0071] RRSR

[0072] SRRS

[0073] …

[0074] Optionally, in some embodiments, the diameter of the first contact in the first contact group ranges from 0.3 to 0.5 mm, and the center distance between the first contacts ranges from 0.5 to 1.0 mm;

[0075] The material of the first contact includes a platinum-black plated or titanium-nitrided platinum-iridium alloy.

[0076] Optionally, in some embodiments, the first contact with a diameter of 0.3 mm is used to detect high-frequency oscillation signals in the frequency range of 80-500 Hz.

[0077] Alternatively, the first contact can be generated using a platinum-iridium alloy based on platinum black or titanium nitride, thereby maximizing the effective surface area of ​​the first contact and significantly improving the sensitivity for detecting weak EEG signals.

[0078] Optionally, the diameter of the second contact 1112 can be at least one of the following: 0.6-0.8 mm, 1.0-1.2 mm, or 1.5-2.5 mm.

[0079] Optionally, the material of the second contact may include a smooth or microporous platinum-iridium alloy, i.e., the second contact is generated based on a smooth or microporous platinum-iridium alloy, which can optimize the charge injection capability of the second contact to provide a stronger stimulating current.

[0080] Optionally, the smaller the diameter of the contact point, the higher the sensitivity of the EEG signals that it can detect. When the diameter of the first contact point is set to 0.3 mm, the frequency range of the EEG signals that it can detect can be as high as 80-500 Hz, which means that high frequency oscillations (HFOs) signals can be detected.

[0081] Optionally, in some embodiments, the signal processing unit further includes a material storage subunit, which is used to release the stored material under the control of the first control unit.

[0082] Optionally, in the signal processing module, the material storage subunit in each signal processing unit can be located between different signal processing units, thereby isolating signal crosstalk between different signal processing units.

[0083] Optionally, the carrier material of the material storage subunit can be a specific drug, that is, the material stored in the material processing subunit is a drug. In this way, the material storage subunit can release the stored drug under the control of the first control unit.

[0084] As a specific example, taking the EEG signal detection device provided in this application embodiment as an example of an implantable closed-loop neurostimulation system, since the implantable closed-loop neurostimulation system includes a deep electrode for implantation of the target object, when the deep electrode is implemented by a signal processing unit, after the deep electrode is implanted into the target object, the material storage subunit in the deep electrode can be controlled to release the stored drug to avoid infection, so as to alleviate the inflammatory response in the acute phase of implantation and avoid errors in the detection results due to the inflammatory response.

[0085] Optionally, in some embodiments, the power consumption of the first control module is lower than that of the second control module.

[0086] Optionally, as described above, each first control unit only needs to control the second contact in its associated signal processing unit to apply electrical stimulation based on the detection result of the first contact in that signal processing unit. The second control unit, on the other hand, needs to perform global control, and any signal processing unit may be identified as the target signal processing unit. Therefore, the power consumption of the first control module is generally lower than that of the second control module.

[0087] Optionally, in the embodiments of this application, the first control module can be called an "edge sentinel" to achieve reflex arc-like intervention of a single signal processing unit; the second control module can be called a "central commander" to achieve global intervention of the entire signal module.

[0088] Optionally, in some embodiments, the second control module is further configured to:

[0089] Receive at least one set of historical EEG signals sent by each processing submodule in the first control module; each set of historical EEG signals includes at least three historical EEG signals;

[0090] The propagation trend is determined based on the acquisition time, signal strength, and corresponding detection area of ​​the at least three historical EEG signals.

[0091] Optionally, in the embodiments of this application, each detected EEG signal can be used as a historical EEG signal. That is, in the embodiments of this application, a self-loop can be achieved, i.e., EEG signal detection is performed in a closed loop.

[0092] Optionally, this application embodiment does not limit the specific number of each group of historical EEG signals, as long as the number is greater than three.

[0093] Optionally, by acquiring the acquisition time, signal intensity, and corresponding detection area of ​​each set of historical EEG signals, the propagation trend of each set of historical EEG signals can be determined based on at least one method such as time sequence, signal intensity, and causal analysis.

[0094] In this embodiment of the application, by acquiring at least one set of historical EEG signal acquisition time, signal strength and corresponding detection area, the propagation trend of EEG signal can be determined, thereby realizing global evaluation of EEG signal and constructing a dynamic propagation network of EEG signal.

[0095] Optionally, in some embodiments, determining the propagation trend based on the acquisition time, signal intensity, and corresponding detection region of the at least three historical EEG signals includes:

[0096] Identify the target EEG signal with the strongest signal intensity and / or the earliest acquisition time among the at least three historical EEG signals;

[0097] The region to be detected corresponding to the target EEG signal is taken as the signal source region among the at least three historical EEG signals;

[0098] Taking the signal source region as the propagation starting point, based on the trend of the acquisition time of the other EEG signals (excluding the target EEG signal) in the at least three historical EEG signals from early to late, or the trend of the signal intensity of the other EEG signals from strong to weak, the detection regions corresponding to the historical EEG signals are sequentially connected to obtain the propagation change trend.

[0099] Optionally, in the embodiments of this application, the method for determining the propagation trend can be a time-series-based algorithm. Specifically, the detection area where the first EEG signal (i.e., the target EEG signal) is located can be determined as the source of the EEG signal (i.e., the signal source area). The detection areas where the EEG signal is located are connected sequentially according to the time sequence to obtain the propagation path of the EEG signal, that is, to obtain the propagation trend.

[0100] Optionally, in the embodiments of this application, the method for determining the propagation trend can be an algorithm based on signal strength. Specifically, the detection area where the contact point with the strongest detected EEG signal (i.e., the target EEG signal) is located can be determined as the source of the EEG signal (i.e., the signal source area). The detection areas where the contact points with detected EEG signals are located are connected sequentially in order from strong to weak to obtain the propagation path of the EEG signal, that is, to obtain the propagation trend.

[0101] Optionally, in some embodiments, determining the propagation trend based on the acquisition time, signal intensity, and corresponding detection region of the at least three historical EEG signals includes:

[0102] Based on a preset causal analysis algorithm, determine the strength of the causal relationship between any two of the at least three historical EEG signals;

[0103] Based on the order of causal relationship strength from strong to weak, the regions to be detected corresponding to the historical EEG signals are connected sequentially to obtain the propagation trend.

[0104] Optionally, in the embodiments of this application, the method for determining the propagation trend can be an algorithm based on causal analysis. Specifically, the causal relationship strength between any two detected EEG signals can be established according to a causal analysis algorithm (e.g., Granger causal analysis or directed transfer function), and the detection areas where the contact points of the detected EEG signals are located are connected sequentially in order of causal relationship strength from strong to weak to obtain the propagation path of the EEG signals, that is, the propagation trend.

[0105] In the embodiments of this application, the propagation and change trend of EEG signals are determined through multiple methods, thus enriching the methods for determining the propagation and change trend of EEG signals.

[0106] Optionally, in some embodiments, determining the propagation change region of the first EEG signal based on the spatial propagation trend of historical EEG signals and the first detection region includes:

[0107] Determine the target propagation trend associated with the first detection area within the propagation trend;

[0108] Using the first area to be detected as the starting point of propagation, the area involved in the target propagation change trend is determined as the propagation change area.

[0109] Optionally, from at least one propagation trend, the propagation trend involving the first detection area can be selected, and the selected propagation trend can be determined as the target propagation trend.

[0110] Optionally, as mentioned above, the propagation trend has directionality. Therefore, based on the directionality of the propagation trend, the first area to be detected can be taken as the propagation starting point, and the area pointed to by the propagation starting point in the propagation trend of the target can be determined as the propagation change area.

[0111] In this embodiment, the propagation change region of the first EEG signal is determined, and a control command is output to the second contact point in the target signal processing unit corresponding to the propagation change region, instructing the second contact point to apply electrical stimulation. In this way, the propagation of the first EEG signal to the propagation change region where the target signal processing unit is located can be blocked in advance, thereby improving the efficiency of subsequent processing operations based on the EEG signal and enabling the EEG signal to have stable spatiotemporal setting characteristics, controlling the potential of the nerve brain cells to be the resting potential.

[0112] Optionally, in some embodiments, the control of the second contact in the signal processing unit to apply a first electrical stimulation for blocking the first EEG signal includes:

[0113] The first contact in the first contact group of the signal processing unit is controlled to act as the cathode for applying the first electrical stimulation, and the second contact in the signal processing unit is also controlled to act as the cathode for applying the first electrical stimulation.

[0114] Optionally, in some embodiments, when the first EEG signal includes a microsecond-level high-frequency oscillation signal or a spike signal, the first electrical stimulation may include a biphasic charge-balancing pulse. That is, the EEG signal detection device provided in this application embodiment can detect microsecond-level high-frequency oscillation signals or spike signals, with high detection sensitivity and accuracy.

[0115] Optionally, after determining the first electrical stimulation, the operating mode of the contact point that detected the EEG signal can be further switched. For example, the operating mode of the contact point can be switched from detection / recording mode to stimulation mode, thereby applying the first electrical stimulation to the target area through the contact point. Specifically, the first contact point and the second contact point in the first contact point group in the signal processing unit are both switched to stimulation mode, wherein the first contact point is used as the cathode for applying the first electrical stimulation, and the second contact point is used as the cathode for applying the first electrical stimulation. The first electrical stimulation is applied to weaken the first EEG signal, so that the EEG signal detected by the first contact point group becomes a normal EEG signal.

[0116] To more clearly illustrate the working principle of the EEG signal detection device provided in this application embodiment, the following example uses the application of the EEG signal detection device to an implantable closed-loop neurostimulation system to illustrate the process of EEG signal intervention in a patient with left temporal lobe epilepsy.

[0117] 1. Event detected: The cluster unit L-Amyg (the first contact group in the signal processing unit L-Amyg) located in the left amygdala detected a significant HFOs burst (i.e. the first EEG signal was HFOs).

[0118] 2. Edge response: The L-Amyg node (i.e., the first control unit electrically connected to the signal processing unit L-Amyg) immediately triggers (i.e., the response time is less than five milliseconds) a short pulse stimulation (i.e., the second contact in the control signal processing unit L-Amyg applies the first electrical stimulation, which is a short pulse stimulation).

[0119] 3. Information Reporting: The L-Amyg node reports to the central control unit: "Cluster unit L-Amyg, HFOs event, L1 stimulation has been implemented" (that is, the first control unit electrically connected to the signal processing unit L-Amyg sends the first information to the second control module, which indicates that the first contact group in the signal processing unit L-Amyg has detected the first EEG signal, and the second contact in the signal processing unit L-Amyg has applied the first electrical stimulation, which is L1 stimulation, short burst pulse stimulation).

[0120] 4. Central decision-making: The central coordinator queries the epilepsy network diagram and finds that there is a strong causal relationship between the cluster unit L-Amyg and the left anterior hippocampus L-HPC(a) (that is, the second control module determines that the propagation change area of ​​the first detection area (the detection area corresponding to the signal processing unit L-Amyg) includes the left anterior hippocampus L-HPC(a)).

[0121] 5. Predictive Action: The central coordinator sends an instruction to the L-HPC(a) node (i.e., the target processing unit): "Be on high alert. If an abnormality occurs within 100ms, immediately execute L2 stimulation" (i.e., the second control module outputs a control instruction to the target signal processing unit corresponding to the L-HPC(a) in the anterior left hippocampus, which is "Be on high alert. If an abnormality occurs within 100ms, immediately execute L2 stimulation").

[0122] 6. Results:

[0123] Scenario A (Success): No abnormalities were detected in L-HPC(a), and the event subsided (i.e., the EEG signal detected by the first contact group in the signal processing unit L-Amyg returned to normal). The system recorded the success of this local intervention.

[0124] Scenario B (Propagation): A spike appears in L-HPC(a) after 80ms. Its edge nodes immediately perform L2 stimulation, successfully blocking the propagation (i.e., upon detecting the spike, the first contact group in the target processing unit immediately applies electrical stimulation through the second contact, blocking the propagation of the abnormal EEG signal). The system strengthens the weight of the propagation path "L-Amyg→L-HPC(a)" and sets a shorter warning window for similar events in the future (i.e., the propagation trend of "L-Amyg→L-HPC(a)" is regarded as the spatial propagation trend of the new historical EEG signal).

[0125] 7. Optimization: The system compares the electrical activity before and after L-Amyg and L-HPC(a) stimulation in this event, and automatically adjusts the stimulation current of L-Amyg from 1.5mA to 1.3mA (that is, updates the default parameters of the first electrical stimulation applied by the second contact in the first signal processing unit). It is found that this is also effective, so the parameters are updated to save energy.

[0126] Based on the same principle as the EEG signal detection device provided in the embodiments of this application, the embodiments of this application also provide an EEG signal control method. See Figure 4 The EEG signal control method is applied to an EEG signal detection device, which includes a signal processing module. The signal processing module includes at least two signal processing units, each used to process EEG signals from different regions to be detected. The EEG signal control method includes:

[0127] Step 401: Based on the first EEG signal collected by the first contact group in the signal processing unit, control the second contact in the signal processing unit to apply a first electrical stimulation to block the first EEG signal.

[0128] Step 402: Determine the propagation change region of the first EEG signal based on the spatial propagation change trend of the historical EEG signal and the first detection region corresponding to the signal processing unit; wherein, the acquisition time of the historical EEG signal is earlier than the acquisition time of the first EEG signal; the propagation change trend is generated based on the temporal and / or characteristic differences of at least three historical EEG signals;

[0129] Step 403: Output a control command to the second contact in the target signal processing unit; wherein, the detection area corresponding to the target signal processing unit is the propagation change area of ​​the first detection area; the control command is used to instruct the second contact in the target signal processing unit to apply electrical stimulation.

[0130] Optionally, in some embodiments, the first contact group includes at least three first contacts, and the second contact is arranged around the at least three first contacts.

[0131] Optionally, in some embodiments, the signal processing unit further includes a material storage subunit, and the method further includes:

[0132] Control the material storage subunit to release the stored material.

[0133] Optionally, in some embodiments, the method further includes:

[0134] Receive at least one set of historical EEG signals; each set of historical EEG signals includes at least three historical EEG signals.

[0135] The propagation trend is determined based on the acquisition time, signal strength, and corresponding detection area of ​​the at least three historical EEG signals.

[0136] Optionally, in some embodiments, determining the propagation trend based on the acquisition time, signal intensity, and corresponding detection region of the at least three historical EEG signals includes:

[0137] Identify the target EEG signal with the strongest signal intensity and / or the earliest acquisition time among the at least three historical EEG signals;

[0138] The region to be detected corresponding to the target EEG signal is taken as the signal source region among the at least three historical EEG signals;

[0139] Taking the signal source region as the propagation starting point, based on the trend of the acquisition time of the other EEG signals (excluding the target EEG signal) in the at least three historical EEG signals from early to late, or the trend of the signal intensity of the other EEG signals from strong to weak, the detection regions corresponding to the historical EEG signals are sequentially connected to obtain the propagation change trend.

[0140] Optionally, in some embodiments, determining the propagation trend based on the acquisition time, signal intensity, and corresponding detection region of the at least three historical EEG signals includes:

[0141] Based on a preset causal analysis algorithm, determine the strength of the causal relationship between any two of the at least three historical EEG signals;

[0142] Based on the order of causal relationship strength from strong to weak, the regions to be detected corresponding to the historical EEG signals are connected sequentially to obtain the propagation trend.

[0143] Optionally, in some embodiments, determining the propagation change region of the first EEG signal based on the spatial propagation trend of historical EEG signals and the first detection region includes:

[0144] Determine the target propagation trend associated with the first detection area within the propagation trend;

[0145] Using the first area to be detected as the starting point of propagation, the area involved in the target propagation change trend is determined as the propagation change area.

[0146] Optionally, in some embodiments, the control of the second contact in the signal processing unit to apply a first electrical stimulation for blocking the first EEG signal includes:

[0147] The first contact in the first contact group of the signal processing unit is controlled to act as the cathode for applying the first electrical stimulation, and the second contact in the signal processing unit is also controlled to act as the cathode for applying the first electrical stimulation.

[0148] Optionally, in some embodiments, the diameter of the first contact in the first contact group ranges from 0.3 to 0.5 mm, and the center distance between the first contacts ranges from 0.5 to 1.0 mm;

[0149] The material of the first contact includes a platinum-black plated or titanium-nitrided platinum-iridium alloy.

[0150] Optionally, in some embodiments, the first contact with a diameter of 0.3 mm is used to detect high-frequency oscillation signals in the frequency range of 80-500 Hz.

[0151] Based on the same principles as the EEG signal detection device and EEG signal control method provided in the embodiments of this application, the embodiments of this application also provide an electronic device (such as a server), which may include a memory, a processor and a computer program stored in the memory, the processor executing the computer program to implement the method provided in any optional embodiment of this application.

[0152] The signal processing system of this application embodiment can execute the method provided in this application embodiment. The implementation principle is similar. The actions performed by each module in the signal processing system of each embodiment of this application correspond to the steps in the method of each embodiment of this application. For detailed functional descriptions of each module of the signal processing system, please refer to the descriptions in the corresponding methods shown above, which will not be repeated here.

[0153] In an alternative embodiment, a signal processing system, such as Figure 5 As shown, Figure 5 The signal processing system 5000 shown includes a processor 5001 and a memory 5003. The processor 5001 and the memory 5003 are connected, for example, via a bus 5002. Optionally, the signal processing system 5000 may further include a transceiver 5004, which can be used for data interaction between the signal processing system and other electronic devices, such as data transmission and / or data reception. It should be noted that in practical applications, the transceiver 5004 is not limited to one type, and the structure of this signal processing system 5000 does not constitute a limitation on the embodiments of this application.

[0154] Processor 5001 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It can implement or execute the various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of this application. Processor 5001 may also be a combination that implements computational functions, such as including one or more microprocessor combinations, a combination of a DSP and a microprocessor, etc.

[0155] Bus 5002 may include a pathway for transmitting information between the aforementioned components. Bus 5002 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. Bus 5002 can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 5 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0156] The memory 5003 may be ROM (Read Only Memory) or other types of static storage devices capable of storing static information and instructions, RAM (Random Access Memory) or other types of dynamic storage devices capable of storing information and instructions, or EEPROM (Electrically Erasable Programmable Read Only Memory), CD-ROM (Compact Disc Read Only Memory) or other optical disc storage, optical disc storage (including compressed optical discs, laser discs, optical discs, digital universal optical discs, Blu-ray discs, etc.), magnetic disk storage media, other magnetic storage devices, or any other medium capable of carrying or storing computer programs and capable of being read by a computer, without limitation herein.

[0157] The memory 5003 is used to store computer programs that execute the embodiments of this application, and its execution is controlled by the processor 5001. The processor 5001 is used to execute the computer programs stored in the memory 5003 to implement the steps shown in the foregoing method embodiments.

[0158] This application provides a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, it can implement the steps and corresponding content of the aforementioned method embodiments.

[0159] This application also provides a computer program product, including a computer program that, when executed by a processor, can implement the steps and corresponding content of the aforementioned method embodiments.

[0160] The terms "first," "second," "third," "fourth," "1," "2," etc. (if present) in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in a sequence other than that shown in the illustrations or text descriptions.

[0161] It should be understood that although arrows indicate various operation steps in the flowcharts of this application's embodiments, the order in which these steps are implemented is not limited to the order indicated by the arrows. Unless explicitly stated herein, in some implementation scenarios of this application's embodiments, the implementation steps in each flowchart can be executed in other orders as required. Furthermore, some or all steps in each flowchart, based on the actual implementation scenario, may include multiple sub-steps or multiple stages. Some or all of these sub-steps or stages can be executed at the same time, and each sub-step or stage can also be executed at different times. In scenarios where execution times differ, the execution order of these sub-steps or stages can be flexibly configured according to requirements, and this application's embodiments do not limit this.

[0162] The above description is only an optional implementation method for some implementation scenarios of this application. It should be noted that for those skilled in the art, other similar implementation methods based on the technical concept of this application without departing from the technical concept of this application also fall within the protection scope of the embodiments of this application.

Claims

1. A brainwave signal detection device, characterized in that, include: Signal processing module, first control module, and second control module; The signal processing module includes at least two signal processing units, each used to process EEG signals from different regions to be detected; the first control module includes at least two first control units, each electrically connected to the signal processing unit and the second control module. The first control unit is configured to: control the second contact in the signal processing unit to apply a first electrical stimulation to block the first EEG signal based on the first EEG signal collected by the first contact group in the signal processing unit electrically connected thereto, and send first information to the second control module; wherein the first information indicates the first detection area corresponding to the signal processing unit; The second control module is used to perform the following operations: Receive at least one set of historical EEG signals sent by each processing submodule in the first control module; each set of historical EEG signals includes at least three historical EEG signals; Based on the acquisition time, signal strength, and corresponding detection area of ​​the at least three historical EEG signals, the spatial propagation trend of the historical EEG signals is determined; Based on the propagation trend and the first detection area, the propagation change area of ​​the first EEG signal is determined; wherein, the acquisition time of the historical EEG signal is earlier than the acquisition time of the first EEG signal; A control command is output to the second contact in the target signal processing unit; wherein the detection area corresponding to the target signal processing unit is the propagation change area of ​​the first detection area; the control command is used to instruct the second contact in the target signal processing unit to apply electrical stimulation.

2. The EEG signal detection device according to claim 1, characterized in that, The first contact group includes at least three first contacts, and the second contact is arranged around the at least three first contacts.

3. The EEG signal detection device according to claim 1 or 2, characterized in that, The signal processing unit also includes a material storage subunit, which is used to release the stored material under the control of the first control unit.

4. The EEG signal detection device according to claim 1, characterized in that, The step of determining the propagation trend based on the acquisition time, signal intensity, and corresponding detection area of ​​the at least three historical EEG signals includes: Identify the target EEG signal with the strongest signal intensity and / or the earliest acquisition time among the at least three historical EEG signals; The region to be detected corresponding to the target EEG signal is taken as the signal source region among the at least three historical EEG signals; Taking the signal source region as the propagation starting point, based on the trend of the acquisition time of the other EEG signals (excluding the target EEG signal) in the at least three historical EEG signals from early to late, or the trend of the signal intensity of the other EEG signals from strong to weak, the detection regions corresponding to the historical EEG signals are sequentially connected to obtain the propagation change trend.

5. The EEG signal detection device according to claim 1, characterized in that, The step of determining the propagation trend based on the acquisition time, signal intensity, and corresponding detection area of ​​the at least three historical EEG signals includes: Based on a preset causal analysis algorithm, determine the strength of the causal relationship between any two of the at least three historical EEG signals; Based on the order of causal relationship strength from strong to weak, the regions to be detected corresponding to the historical EEG signals are connected sequentially to obtain the propagation trend.

6. The EEG signal detection device according to claim 1, characterized in that, Determining the propagation change region of the first EEG signal based on the propagation change trend and the first detection region includes: Determine the target propagation trend associated with the first detection area within the propagation trend; Using the first area to be detected as the starting point of propagation, the area involved in the target propagation change trend is determined as the propagation change area.

7. The EEG signal detection device according to claim 1, characterized in that, The control of applying a first electrical stimulation to the second contact in the signal processing unit to block the first EEG signal includes: The first contact in the first contact group of the signal processing unit is controlled to act as the cathode for applying the first electrical stimulation, and the second contact in the signal processing unit is also controlled to act as the cathode for applying the first electrical stimulation.

8. The EEG signal detection device according to claim 1 or 2, characterized in that, The diameter of the first contact in the first contact group ranges from 0.3 to 0.5 mm, and the center distance between the first contacts ranges from 0.5 to 1.0 mm. The material of the first contact includes a platinum-black plated or titanium-nitrided platinum-iridium alloy.

9. The EEG signal detection device according to claim 8, characterized in that, The first contact, with a diameter of 0.3 mm, is used to detect high-frequency oscillation signals in the frequency range of 80-500 Hz.

10. The EEG signal detection device according to claim 1 or 2, characterized in that, The power consumption of the first control module is lower than that of the second control module.

11. A method for controlling brainwave signals, characterized in that, The electroencephalogram (EEG) signal detection device according to any one of claims 1 to 10, wherein the EEG signal detection device includes a signal processing module; The signal processing module includes at least two signal processing units, each used to process EEG signals from different regions to be detected, and the method includes: Based on the first EEG signal collected by the first contact group in the signal processing unit, the second contact in the signal processing unit is controlled to apply a first electrical stimulation to block the first EEG signal. The system receives at least one set of historical EEG signals sent by each processing submodule in the first control module; each set of historical EEG signals includes at least three historical EEG signals; and determines the spatial propagation trend of the historical EEG signals based on the acquisition time, signal strength, and corresponding detection area of ​​the at least three historical EEG signals. Based on the propagation trend and the first detection area corresponding to the signal processing unit, the propagation change area of ​​the first EEG signal is determined; wherein, the acquisition time of the historical EEG signal is earlier than the acquisition time of the first EEG signal; A control command is output to the second contact in the target signal processing unit; wherein the detection area corresponding to the target signal processing unit is the propagation change area of ​​the first detection area; the control command is used to instruct the second contact in the target signal processing unit to apply electrical stimulation.

12. The EEG signal control method according to claim 11, characterized in that, The first contact group includes at least three first contacts, and the second contact is arranged around the at least three first contacts.

13. The EEG signal control method according to claim 11 or 12, characterized in that, The signal processing unit further includes a material storage subunit, and the method further includes: Control the material storage subunit to release the stored material.

14. The EEG signal control method according to claim 11, characterized in that, The step of determining the propagation trend based on the acquisition time, signal intensity, and corresponding detection area of ​​the at least three historical EEG signals includes: Identify the target EEG signal with the strongest signal intensity and / or the earliest acquisition time among the at least three historical EEG signals; The region to be detected corresponding to the target EEG signal is taken as the signal source region among the at least three historical EEG signals; Taking the signal source region as the propagation starting point, based on the trend of the acquisition time of the other EEG signals (excluding the target EEG signal) in the at least three historical EEG signals from early to late, or the trend of the signal intensity of the other EEG signals from strong to weak, the detection regions corresponding to the historical EEG signals are sequentially connected to obtain the propagation change trend.

15. The EEG signal control method according to claim 11, characterized in that, The step of determining the propagation trend based on the acquisition time, signal intensity, and corresponding detection area of ​​the at least three historical EEG signals includes: Based on a preset causal analysis algorithm, determine the strength of the causal relationship between any two of the at least three historical EEG signals; Based on the order of causal relationship strength from strong to weak, the regions to be detected corresponding to the historical EEG signals are connected sequentially to obtain the propagation trend.

16. The EEG signal control method according to claim 11, characterized in that, Determining the propagation change region of the first EEG signal based on the propagation change trend and the first detection region includes: Determine the target propagation trend associated with the first detection area within the propagation trend; Using the first area to be detected as the starting point of propagation, the area involved in the target propagation change trend is determined as the propagation change area.

17. The EEG signal control method according to claim 11, characterized in that, The control of applying a first electrical stimulation to the second contact in the signal processing unit to block the first EEG signal includes: The first contact in the first contact group of the signal processing unit is controlled to act as the cathode for applying the first electrical stimulation, and the second contact in the signal processing unit is also controlled to act as the cathode for applying the first electrical stimulation.

18. The EEG signal control method according to claim 11 or 12, characterized in that, The diameter of the first contact in the first contact group ranges from 0.3 to 0.5 mm, and the center distance between the first contacts ranges from 0.5 to 1.0 mm. The material of the first contact includes a platinum-black plated or titanium-nitrided platinum-iridium alloy.

19. The EEG signal control method according to claim 18, characterized in that, The first contact, with a diameter of 0.3 mm, is used to detect high-frequency oscillation signals in the frequency range of 80-500 Hz.

20. A signal processing system, characterized in that, The device includes the electroencephalogram (EEG) signal detection device according to any one of claims 1 to 10.

21. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the EEG signal control method according to any one of claims 11 to 19.

22. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the EEG signal control method according to any one of claims 11 to 19.

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